首页> 外文会议>International Conference on Genetic and Evolutionary Computing >A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns
【24h】

A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns

机译:一种更有效的矿山地平线频繁实用模式的算法

获取原文

摘要

In the past, a SKYMINE approach was proposed to both consider the aspects of utility and frequency of the itemsets to mine the skyline frequency-utility skyline patterns (SFUPs). The SKYMINE algorithm requires, however, the amounts of computation to mine the SFUPs based on the utility-pattern (UP)-tree structure performing in a level-wise manner. In this paper, we propose more effective algorithms to mine the SFUPs based on the utility-list structure. Substantial experiments are carried to show that the proposed algorithms outperform the state-of-the-art SKYMINE to mine the SFUPs in terms of runtime and memory usage.
机译:过去,提出了一种卑鄙的方法,既考虑了项目集的效用和频率的方面,以挖掘地平线频率 - 效用天际线图案(SFUP)。然而,额外的算法需要基于以级别明智的方式执行的实用图案(UP)结构来实现SFUP的计算量。在本文中,我们提出了更有效的算法来基于实用程序列表结构来挖掘SFUP。举报实质实验表明,所提出的算法优于最先进的股份,以便在运行时和内存使用情况下挖掘SFUP。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号